CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: "Impact of surgical modality choice".
Ayten Kayı CangırKaan OrhanYusuf KahyaHilal ÖzakıncıBetül Bahar KazakBuse Mine Konuk BalcıDuru KarasoyÇağlar UzunPublished in: World journal of surgical oncology (2021)
The results demonstrated that a machine-learning model and a multilayer perceptron classifier analysis can be used on CT images to predict low- and high-risk thymomas. This combination could be a useful preoperative method to determine the surgical approach for thymoma.
Keyphrases
- machine learning
- image quality
- computed tomography
- dual energy
- deep learning
- contrast enhanced
- artificial intelligence
- high resolution
- big data
- positron emission tomography
- patients undergoing
- magnetic resonance imaging
- myasthenia gravis
- risk assessment
- decision making
- mass spectrometry
- fluorescence imaging
- human health